What we’re reading: Next-generation admixture estimates, mutation rates shaped by epidemiology, and whatever happened to that data?

Books

In the journals

Skotte L, TS Korneliussen, and A Albrechtsen. 2013. Estimating individual admixture proportions from next generation sequencing data. Genetics doi: 10.1534/genetics.113.154138.

This paper presents a new method for inferring individ- ual’s ancestry that takes the uncertainty introduced in next generation sequencing data into account. This is achieved by working directly with genotype likelihoods which contains all relevant information of the unobserved genotypes.

Scholle SO, RJF Ypma, AL Lloyd, and K Koelle. 2013. Viral substitution rate variation can arise from the interplay between within-host and epidemiological dynamics. The American Naturalist 182(4):494-513. doi: 10.1086/672000.

This work shows that even in neutrally evolving viral populations, epidemiological dynamics can alter substitution rates via the interplay between within-host replication dynamics and population-level disease dynamics.

In the news

Charles Goodnight on quantitative genetics in metapopulations.

A list of (rather more than) ten things to keep in mind when you sit down to work with that nice new dataset.

And some personal logrolling

Tim presented some worrying results from a study of the accessibility of old (and not-even-that-old) datasets at the International Congress on Peer Review and Biomedical Publication last week.

Jeremy posted the first preliminary analysis from a project on LGBTQ experiences in scientific careers.

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About Jeremy Yoder

Jeremy Yoder is an Assistant Professor of Biology at California State University, Northridge. He also blogs at Denim and Tweed, and tweets under the handle @jbyoder.
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